Evidence map›Paper›PMID 39931472›Full record

ArticleHeliyon2025

Application of multi-indexing approach within a GIS framework to investigate the quality and contamination of ground water in Barisal sadar, Bangladesh.

Md Numan Hossain, M Farhad Howladar, Sohag Ahammed, Md Rezwanul Haque, Majedul Islam Khan, Muyeed Hasan, Tayabur Rashid Chowdhury, Alamgir Hosain

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Md Numan HossainDepartment of Petroleum and Mining Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
M Farhad HowladarDepartment of Petroleum and Mining Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Sohag AhammedDepartment of Forest Policy and Management, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
Md Rezwanul HaqueDepartment of Petroleum and Mining Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Majedul Islam KhanDepartment of Petroleum and Mining Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Muyeed HasanDepartment of Geography and Environment, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Tayabur Rashid ChowdhuryDepartment of Geography and Environment, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Alamgir HosainDepartment of Coastal Studies Disaster Management, University of Barisal, Barisal, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater quality and contamination pose significant challenges in coastal regions such as Barisal Sadar, Bangladesh, where dependency on groundwater is crucial for potable and agricultural uses. This study employed a multi-indexing approach inside a GIS framework to assess water quality, contamination scenarios, and health risks. It evaluates the physicochemical properties of groundwater samples, including heavy metals, to identify potential issues. The results reveal that water's pH is slightly alkaline, with moderate to high levels of turbidity and hardness. The mean electrical conductivity is 1522 μS/cm, and most regions are above the threshold value. Total dissolved solids (TDS), chloride, and NaCl were found in elevated amounts, indicating water's impact on salinity. Heavy metal concentrations occasionally exceed permissible limits, indicating potential health hazards. The individual contamination indices range from low to high risk, whereas the weighted index signifies low to medium risk. The possible ecological risk was obtained within acceptable ranges except for some samples. The noncarcinogenic health risk remained below acceptable ranges (<1) throughout this investigation. In some instances, the carcinogenic risk of Cd and Ni was more significant than the international safe limit (1E-04). The water quality index indicates that 55 % of samples are rated excellent, 10 % moderate, 15 % poor, and 20 % very poor. The significant positive correlations among EC, TDS, TH, turbidity, salinity, NaCl, chloride, and calcium ions as per correlogram, principal component analysis (PCA) biplot, and heat map clustering, indicating similar sources of origin. Notwithstanding its constraints, this study represented one of the initial attempts in Barishal Sadar to investigate groundwater using numerous indices and GIS frameworks. In the end, policymakers can utilize this study's findings to monitor and control groundwater around the study area.

Indexed as

GIS frameworkGroundwater contaminationHealth risk assessmentMulti-indexing approachPotential ecological riskPrinciple component analysis (PCA)Water quality index

Identifiers

PMID39931472
PMCPMC11808679

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.